Claim · model-written summary
Adding vegetation type reduces residual variation in calibration.
- Taxon
- vegetationt0
- Treatment
- introducing vegetation type as a factore0
- Outcome
- residual variatione0
- Direction
- reducede0
- Comparator
- calibrations carried out across vegetation typese0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleSettingValueQualifier
Verbatim
e0“The residual variation in calibrations carried out across vegetation types is undoubtedly reduced by introducing vegetation type as a factor.”
t0“vegetation”
Title
Bias in Ellenberg indicator values — problems with detection of the effect of vegetation type
Simon M. Smart; W. Andrew Scott Journal of Vegetation Science 2004. doi:10.1111/j.1654-1103.2004.tb02327.x
Other claims from this paper (4)
- Association Measurement error in explanatory variables causes regression slopes to underestimate true relationships.
- Mechanism Syntaxon-specific Ellenberg value distributions follow from floristic definitions.
- Observation Mean Ellenberg values retain a syntaxon imprint despite variation in abiotic conditions.
- Mechanism Vegetation types vary in calibration slopes and intercepts because Ellenberg values are distributed differently among syntaxa.